Literature DB >> 32244392

A Multi-Node Detection Algorithm Based on Serial and Threshold in Intelligent Sensor Networks.

Guanghua Zhang1, Zonglin Gu1, Qiannan Zhao1, Jingqiu Ren1, Shuai Han2, Weidang Lu3.   

Abstract

With the continuous progress of science and technology, intelligent wireless sensor network (IWSN) communication has become indispensable in its role in production and life because of its convenient network settings and flexible use. However, with the widespread availability of intelligent wireless sensor networks, the use of many wireless sensor nodes constitutes a multi-node wireless communication system, which turns the accuracy and low complexity of multi-node detection in sensor networks into a problem. Although the traditional algorithm has excellent performance, it cannot give consideration to both accuracy and complexity. Therefore, a maximum logarithm message passing algorithm based on serial and threshold (S-T-Max-log-MPA) for multi-mode detection in IWSN is proposed in this paper. In this algorithm, the threshold is used to determine the necessary conditions of sensor node stability first, and then the sensor node information updating is integrated into the resource node information updating, so that the system can maintain good accuracy, performance, and change the situation of poor system accuracy at low threshold. Compared with the traditional algorithm, the proposed algorithm significantly changes the algorithm complexity reduction rate of the system multi-node detection. Simulation results show that the algorithm has a good balance between accuracy and complexity reduction rate.

Entities:  

Keywords:  complexity; intelligent sensor; message passing algorithm; serial; threshold

Year:  2020        PMID: 32244392     DOI: 10.3390/s20071960

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  Equivalent MIMO Channel Matrix Sparsification for Enhancement of Sensor Capabilities.

Authors:  Mikhail Bakulin; Vitaly Kreyndelin; Sergei Melnik; Vladimir Sudovtsev; Dmitry Petrov
Journal:  Sensors (Basel)       Date:  2022-03-05       Impact factor: 3.576

  1 in total

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